Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening

• URL: http://arxiv.org/abs/2406.07763v1
• Date: Tue, 11 Jun 2024 22:56:50 GMT
• Title: Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
• Authors: Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond,
• Abstract summary: We employ a style-transfer approach to learn gene-level feature representations from images of genetically perturbed cells obtained via Optical pooled screening (OPS) Our method outperforms widely used engineered features in clustering gene representations according to gene function, demonstrating its utility for uncovering latent biological relationships.
• Score: 3.7038542578642715
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Optical pooled screening (OPS) combines automated microscopy and genetic perturbations to systematically study gene function in a scalable and cost-effective way. Leveraging the resulting data requires extracting biologically informative representations of cellular perturbation phenotypes from images. We employ a style-transfer approach to learn gene-level feature representations from images of genetically perturbed cells obtained via OPS. Our method outperforms widely used engineered features in clustering gene representations according to gene function, demonstrating its utility for uncovering latent biological relationships. This approach offers a promising alternative to investigate the role of genes in health and disease.

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